Triple

T3109547
Position Surface form Disambiguated ID Type / Status
Subject Jordaan E64916 entity
Predicate contains P35 FINISHED
Object Noordermarkt E209774 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Noordermarkt | Statement: [Jordaan, contains, Noordermarkt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noordermarkt
Context triple: [Jordaan, contains, Noordermarkt]
  • A. Noordermarkt chosen
    Noordermarkt is a historic square and popular market in Amsterdam’s Jordaan district, known for its organic farmers’ market and antique stalls.
  • B. Nieuwmarkt
    Nieuwmarkt is a historic square and lively neighborhood in central Amsterdam known for its markets, cafés, and the medieval Waag building.
  • C. Binnenstad
    Binnenstad is the historic city center of Utrecht in the Netherlands, known for its medieval architecture, canals, and cultural landmarks.
  • D. Grote Markt
    Grote Markt is the historic central market square of Haarlem in the Netherlands, known for its medieval architecture and prominent civic and religious buildings.
  • E. Grote Markt
    Grote Markt is the historic central square of Antwerp, Belgium, renowned for its ornate guildhalls, Brabo Fountain, and the Renaissance-style city hall.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada2a0ab2481908db50738ec3ad0fb completed March 8, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203902a6881909b20589fad629640 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:04 p.m.